Sr. Data Scientist

Posted Yesterday
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Hiring Remotely in Michigan, USA
Remote
92K-148K Annually
Senior level
Artificial Intelligence • Automotive • Computer Vision • Machine Learning • Agriculture • Defense • Manufacturing
Oshkosh Corp. designs, builds and manufactures some of the industry’s toughest specialty trucks and access equipment
The Role
Senior Data Scientist for Corporate Engineering applying statistics and machine learning to telematics and vehicle service data. Responsibilities include data acquisition and processing (HDFS/Kafka), model development for diagnostics/prognostics and preventive maintenance, cloud analytics research, cross-functional collaboration, validation/verification, visualization, and supporting proposals and product/service improvements.
Summary Generated by Built In

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

The Sr. Data Scientist is a key member in data analytics team for Corporate Engineering. The candidate will work within advanced engineering groups and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh products. Data analytics work encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or off-road vehicles.

YOUR IMPACT:  

  • Perform data science or analytics assignments, investigations, and visualization tasks. 
  • Deliver results according to Oshkosh and general industry engineering standards and processes.
  • Support (Sr.) data analyst/scientist in the preparation of analytics work, plans, designs, data processing and visualization, and/or reporting.
  • Under close supervision, work on projects of high level of complexity.                                                    
  • Work in collaboration with data science team, data engineering, software, and other internal engineering groups or business support disciplines as well as external component suppliers.
  • Collaborate with other team members in Oshkosh to establish and execute the data analytics strategy regarding telematics, cloud hosting, data file system and preprocessing and engineering applications.
  • Work on the technical aspects of advanced diagnostics and prognostics and support the validation and verification of the intelligent preventive maintenance strategy using statistics and machine learning techniques.        
  • Conduct independent research on new technologies in cloud-based data analytics and establish requirements (resources, equipment, estimates, test plans, and milestones) and roadmap according to the needs of a project under the guidance of the supervisor.                         
  • Conduct data processing and data analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests.
  • Responsible for manipulating high-volume, high-dimensionality data in cloud or on-premises from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques using modeling tools (such as JMP, SAS, or Anaconda, Dataiku or alike).     
  • Support or lead the development of intelligent control of on or off-road vehicle or machineries using data analytics techniques.
  • Assist or direct feasibility studies and project estimates (manpower, budget development, and timelines, etc.) on proposed research and development projects.                  
  • Support or direct proposal development with regards to acquiring appropriate funding for various advanced data analytics and control systems program from government agencies.
  • Provide insight to service or engineering design teams and support maintenance enhancement and product design improvement.
  • Other duties as assigned.
  • Regular attendance is required.

MINIMUM QUALIFICATIONS:  

  • Accredited Bachelor's degree in computer science, data science or related field with five (5) or more years of related experience.

STANDOUT QUALIFICATIONS: 

  • Bachelor's degree in computer science, data science or a related field and 8-plus years related experience or Master’s degree in data science and five (5) or more years of related experience or Ph.D. degree in data science with 2 years of related experience.
  • Work experiences on statistics, artificial intelligence, data analytics or machine learning.
  • Work knowledge of telematics interfaces, data file systems (Hadoop) and data processing techniques (Kafka, Impala, or Map Reduce, etc.), database (SQL or NoSQL), data modeling and data virtualization tools in Python, R or Java/C/C++.

CORE COMPETENCIES:

  • Internal Contacts: Contact with peers and others involving explanation of information (these contacts may be within or outside department or division), and the gathering of factual information; may include the communication of sensitive or confidential information.
  • External Contacts:  Limited external contact to gather information, answer queries, or ask assistance.
  • Communication Skills:  Read, write and comprehend simple instructions, short correspondence and memos; Read and interpret safety rules, operating/maintenance instructions and procedure manuals; Write routine reports, correspondence and speak effectively before both internal and external groups; Read, analyze and interpret business manuals, technical procedures and/or government regulations: Read, analyze and interpret scientific and technical journals, financial reports and legal documents.
  • Decision-Making:  Regularly makes significant decisions and final results, typically affecting the entire department. Available guides or precedents are limited. Has authority over the allocation of resources.
  • Complexity, Judgment and Problem Solving:  Work requires the ability to plan and perform work in light of new or constantly changing problems, work from broad instruction, and deal with complex factors not easily evaluated.  Decisions require considerable judgment, initiative and ingenuity in areas there is little precedent.
  • Supervisory/Managerial:  General instructing, scheduling, and reviewing the work of others performing the same or directly related work. Acts as “lead worker”.

WORKING CONDITIONS:

  • Physical Demands: Frequent: Standing, Walking/Running, Sitting, Reaching, Hearing, Talking, Visual, Typing; Occasional: Driving, Fine Dexterity, Manual Dexterity; Upper Extremity Repetitive Motion; Seldom: Lifting/Carrying 25lbs., Pushing/Pulling 25llbs.
  • Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.
  • Environmental Demands: Frequent: Work Alone, Frequent Task Changes, Tedious/Exacting Work; Occasional: High Volume Public Contact.
  • Work Schedule:  Routine shift hours. Infrequent overtime, weekend, or shift rotation.
  • Demands/Deadlines: High volume and variable work demands and deadlines impose strain on routine basis or considerable stress intermittently; OR regular direct contacts with distressed individuals within the immediate work environment; and/or exposure to demands and pressures from persons other than immediate supervisor.

#LI-VR

Pay Range:

$91,500.00 - $148,100.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at [email protected].

Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Skills Required

  • Bachelor's degree in computer science, data science or related field with five (5) or more years of related experience.
  • Bachelor's degree with 8+ years related experience, or Master's degree in data science with 5+ years, or Ph.D. in data science with 2 years experience.
  • Experience in statistics, artificial intelligence, data analytics or machine learning.
  • Work knowledge of telematics interfaces and data file systems (Hadoop/HDFS).
  • Experience with data processing technologies such as Kafka, Impala, MapReduce and databases (SQL or NoSQL).
  • Proficiency in programming languages: Python, R, Java, C, or C++.
  • Experience with modeling and analytics tools such as JMP, SAS, Anaconda, or Dataiku.
  • Experience with cloud-based data analytics and processing high-volume, high-dimensionality data.

Oshkosh Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oshkosh Corporation and has not been reviewed or approved by Oshkosh Corporation.

  • Healthcare Strength Healthcare coverage is described as broad, including medical, dental, and vision options alongside disability and life insurance. Voluntary add-ons such as accident/critical illness coverage, pet insurance, and an employee assistance program further expand coverage breadth.
  • Retirement Support Retirement programs include a 401(k) with employer matching and an employee stock purchase plan, alongside performance bonuses. Profit sharing and legacy pension arrangements are also referenced, suggesting multiple pathways for long-term financial support.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle supports include flexible work schedules, some remote work options, fitness stipends, and wellness programs. Tuition reimbursement and continuing education support add value that complements cash compensation.

Oshkosh Corporation Insights

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The Company
HQ: Oshkosh, WI
15,000 Employees
Year Founded: 1917

What We Do

Oshkosh Corporation is an industrial technology company that builds some of the industry’s toughest specialty trucks and access equipment. We serve our everyday heroes – soldiers, firefighters, people working at great height, environmental and refuse workers – through incredible technology. And with a portfolio of leading brands, we can uniquely take innovation from one brand and apply it across our portfolio.

Why Work With Us

We make equipment that moves the world forward. With ~15,000 team members united under our People First culture, a career at Oshkosh is an opportunity to do more than just impact industries -- it's an opportunity to make a difference in the world around you, protecting those who protect us.

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